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  1. Ansatte

Språkvelger

English

Idelfonso Nogueira

Last ned pressefoto
Last ned pressefoto
Foto:

Idelfonso Nogueira

Førsteamanuensis
Institutt for kjemisk prosessteknologi

idelfonso.b.d.r.nogueira@ntnu.no
73592399 Kjemi 4, 232, Gløshaugen
ResearchGate Scopus Google Scholar
Om Publikasjoner Undervisning Formidling

Om

Forskning

Jeg søker å fremme synergier mellom nye teknologier og klassiske strategier for å utvikle innovative løsninger for å møte det moderne samfunnets utfordringer, med fokus på å forene kunstig intelligens, avansert kontroll, systemoptimalisering, digitalisering og automatisering. Forskningen min har fire hovedgrener som jobber sammen for å fremme en ny og bærekraftig industri. Synergien mellom disse grenene kaller jeg AiP2S2 (Artificial Intelligence-powered Products, Processes, Scales and Systems). Jeg kan kort liste dem opp som følgende:

  • Utvikle produkter: Denne grenen søker å utvikle nye produkter ved hjelp av Process Systems Engineering-perspektivet. Hovedspørsmålet er: Hvordan kan kunstig intelligens og kontrollteori brukes til å lete etter nye produktløsninger som aldri er sett før?
  • Drift av prosesser: Denne grenen tar opp to hovedspørsmål. Den første er: Hvordan kan kunstig intelligens utvikles på en fortolkbar, robust og pålitelig måte for å hjelpe Process System Engineering i et industri 4.0/5.0-scenario? Det andre spørsmålet er: Hvordan kan vi kombinere systemkontroll, optimalisering og kunstig intelligens og samtidig garantere stabilitet, robusthet og stabil integrasjon?
  • Bygge bro mellom skalaer: Denne grenen utvikler en ny måte å observere systemet på - en måte å betrakte fenomenene og prosessen i samme ramme. Dermed er hovedspørsmålet her: Hvordan integrere prosessenes fundamentale-, design- og driftsskalaer for å optimalisere og kontrollere begge samtidig?
  • Koble sammen systemer: Vi lever i et dynamisk samfunn som krever løsninger på sine utfordringer. Hvordan kan industrien raskt tilpasse seg disse utfordringene? Dette er spørsmålet vi ønsker å løse i denne grenen.

Jeg ser på flerfaglighet og samarbeid med andre felt og perspektiver som avgjørende for å utvikle disse forskningsgrenene. På denne måten samarbeider jeg med flere universiteter, institutter og industrier over hele verden. Videre jobber jeg også med å fremme innovative undervisningsaktiviteter for å forberede fremtidige ingeniører til å møte industri 4.0/5.0-utfordringene.

Kompetanseord

  • Applied Artificial Intelligence
  • Digital twins
  • Hybrid modelling
  • Optimalisering
  • Process System Engineering
  • Process control

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Alle publikasjoner i Nasjonalt vitenarkiv (NVA)

2026

  • de Pinho Queiroz, Luana; Souza Lima, Patrick; Pessoa, Robson Wilson Silva; Martens, Harald; Nogueira, Idelfonso B. R.; Ribeiro, A. M.. (2026) Chemometrics for flavor science: Mapping structure–perception relationships using PCA and Fuzzy C-Means. Digital Chemical Engineering
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.; Knuutila, Hanna Katariina. (2026) Data-Driven and Hybrid Modelling for Optimisation, Control, and Digital Twins in Chemical Engineering Challenges. Norges teknisk-naturvitenskapelige universitet
    Doktoravhandling
  • Arrais Romero Dias Lima, Fernando; Almeida Costa, Erbet; Leblebici, Mumin Enis; Secchi, Argimiro Resende; Souza, Maurício B. de; Bessa Dos Reis Nogueira, Idelfonso. (2026) Symbolic Regression-Based Robust Control of Batch Crystallization: Design and PLC Implementation. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Bessa Dos Reis Nogueira, Idelfonso. (2026) Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach. Control Engineering Practice
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Bessa Dos Reis Nogueira, Idelfonso. (2026) Augmented reality in architectural heritage preservation: a comprehensive digitization approach validated in Salvador’s Pelourinho district–Brazil. Cogent Arts & Humanities
    Vitenskapelig artikkel
  • Amaral, Guilherme C.; Rios, Albertina G.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Rodrigues, Diogo; Bessa Dos Reis Nogueira, Idelfonso; Ferreira, Alexandre F.P.. (2026) Parameter estimation of a size-exclusion simulated moving bed for protein purification via meta-heuristic methods with estimability analysis and uncertainty evaluation. Chemical Engineering Science (CES)
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Bessa Dos Reis Nogueira, Idelfonso. (2026) RTO and advanced process control for electric submersible pumps using surrogate models. Journal of Process Control
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2026) MAASC — Multi-Agentic Architecture Specialised for Control. Journal of Process Control
    Vitenskapelig artikkel
  • de Pinho Queiroz, Luana; Pessoa, Robson Wilson Silva; Caldas, Alcides S.; Ribeiro, Ronilda Iyakemi; Ribeiro, Ana Mafalda; Strlic, Matija; Bembibre, Cecilia; Bessa Dos Reis Nogueira, Idelfonso. (2026) Bahia’s Dendê and the Forgotten Knowledge: Cultural Heritage, Sustainability, and the Marginalization of Afro-Brazilian Traditions. Heritage
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Caprio, Ulderico Di; Steen-Hansen, Jenny; Rodrigues, Bruno; Almeida Costa, Erbet; Santos, Anderson Rapello dos; Esposito, Flora; Leblebici, Mumin Enis; Bessa Dos Reis Nogueira, Idelfonso. (2026) ExPUFFIN: Thermodynamic consistent viscosity prediction in an Extended Path-Unifying Feed-Forward Interfaced Network. Chemical Engineering Journal Advances
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Abdelrehim, Anas; Bharambe, Ashutosh; Micluţa-Câmpeanu, Marius; Gandhi, Dhairya; Singhvi, Anshul; Bhat, Venkateshprasad; Piibeleht, Morten; Secchi, Argimiro R.; Souza, Maurício B.de. (2026) Improving process systems engineering with specialized multi-agent large language models. Chemical Engineering Journal Advances
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Moraes, Marcellus G.F. de; Leblebici, M. Enis; Secchi, Argimiro R.; Souza, Maurício B. de; Nogueira, Idelfonso B. R.. (2026) A robust framework based on symbolic regression to develop controllers for crystallization processes. Journal of Process Control
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Nogueira, Idelfonso B. R.; Secchi, Argimiro Resende; Jr., Mauricio Bezerra de Souza; Leblebici, Mumin Enis. (2026) Machine Learning-Enhanced Process Systems Engineering for Modeling, Monitoring, and Control with Applications to Crystallization Processes. Norges teknisk-naturvitenskapelige universitet
    Doktoravhandling

2025

  • Almeida Costa, Erbet; Abreu, Odilon Santana Luiz de; Reges, Galdir; de Menezes Rebello, Carine; Fontana, Marcio; Ribeiro, Marcos Pellegrini; Nogueira, Idelfonso B. R.; Schnitman, Leizer. (2025) Standard MPC and Inputs-Target MPC implementation comparison in ESP systems. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Lima, Fernando Arrais R.D.; Faria, Ruan R.; Moraes, Marcellus G.F. de; Secchi, Argimiro R.; Nogueira, Idelfonso B. R.; Souza, Maurício B. de. (2025) Controlling Paracetamol Batch Crystallization in Ethanol by Reinforcement Learning. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Abreu, Odilon Santana Luiz De; Reges, Galdir; Viena Santana, Vinicius; Mendes, Tefilo Paiva Guimares; Fontana, Marcio; Bacellar, Francisco Raphael Ribeiro; Ribeiro, Marcos Pellegrini; Foresti, Bernardo Pereira. (2025) Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Rodrigues, Bruno; de Pinho Queiroz, Luana; Fleming, Bernardo; Vieira, Noemi J.; Ribeiro, Ronilda Iyakemi; Caldas, Alcides S.; Leblebici, Mumin Enis; Strlic, Matija; Bessa Dos Reis Nogueira, Idelfonso. (2025) Tracing Yoruba Heritage in Brazil Through Olfactory Landscapes: A Sensory Approach to Cultural Heritage. Heritage
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Jäschke, Johannes Ernst Peter; Nogueira, Idelfonso B. R.. (2025) Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Boy, Onur Can; Nogueira, Idelfonso B. R.; Caprio, Ulderico Di; Leblebici, Mumin Enis. (2025) AI-aided process intensification of structures. Chemical Engineering and Processing
    Vitenskapelig oversiktsartikkel
  • Souza Lima, Patrick; Ferreira Bernardino, Lucas; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2025) Comparative Analysis of Control Structures in Core Annular Flow Systems: A CFD Simulation Study. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Moraes, Marcellus G.F. de; de Menezes Rebello, Carine; Barreto, Amaro G.; Secchi, Argimiro R.; Souza, Maurício B. de; Nogueira, Idelfonso B. R.. (2025) Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization. Chemical Engineering and Processing
    Vitenskapelig artikkel
  • Voltolini, Leonardo; Arrais Romero Dias Lima, Fernando; de Menezes Rebello, Carine; Itabaiana, Ivaldo; Nogueira, Idelfonso B. R.; Secchi, Argimiro Resende; Souza, Maurício B. de. (2025) Machine learning framework to predict product distribution of lignocellulosic biomass pyrolysis. Bioresource Technology
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.. (2025) Digital twins in chemical engineering: An integrated framework for identification, implementation, online learning, and uncertainty assessment. Computers and Chemical Engineering
    Vitenskapelig artikkel

2024

  • Santana, Vinicius; Rebello, Carine Menezes; Queiroz, Luana P.; Ribeiro, Ana Mafalda; Shardt, Nadia; Nogueira, Idelfonso B. R.. (2024) PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction. Chemical Engineering Science (CES)
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Rebello, Carine Menezes; Schnitman, Leizer; Loureiro, José Miguel; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.. (2024) Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. Engineering Applications of Artificial Intelligence
    Vitenskapelig artikkel
  • Mendes, Teófilo Paiva Guimarães; Ribeiro, Ana Mafalda; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process. Processes
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Deiró, Gabriela Fontes; Knuutila, Hanna Katariina; Moreira, Lorena Claudia de Souza; Nogueira, Idelfonso B. R.. (2024) Augmented reality for chemical engineering education. Education for Chemical Engineers
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Ribeiro, Lucília S.; Nogueira, Idelfonso B. R.. (2024) Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin. Applied Sciences
    Vitenskapelig oversiktsartikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Vides, Fredy; Nogueira, Idelfonso B. R.. (2024) Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization. Canadian Journal of Chemical Engineering
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.. (2024) Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making. Separation and Purification Technology
    Vitenskapelig artikkel
  • Rodrigues, Bruno; Viena Santana, Vinicius; Murins, Sandris; Nogueira, Idelfonso B. R.. (2024) Molecule Generation and Optimization for Efficient Fragrance Creation. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Fontana, Marcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Ito Iwakiri, Igor Gabriel; Delgado, Nuno M.; Nogueira, Idelfonso B. R.. (2024) Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics. Electrochimica Acta
    Vitenskapelig artikkel
  • Queiroz, L.P.; Nogueira, Idelfonso B. R.; Ribeiro, A.M.. (2024) Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics. Food Research International
    Vitenskapelig oversiktsartikkel
  • Santana, Vinícius V.; Carmo, Paulo; Seabra, Rute; Rodrigues, Alírio E.; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Yoon, Ji Woong; Cho, Kyung Ho; Yun, Ji Sub; Lee, U-Hwang. (2024) Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Viena Santana, Vinicius; Nogueira, Idelfonso B. R.. (2024) Machine learning multi-step-ahead modelling with uncertainty assessment. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Sanchez, Antonio; Bessa Dos Reis Nogueira, Idelfonso. (2024) Nutrient recovery in wastewater treatment plants through biosolids and struvite precipitation: Case study in Panama City. Cleaner Water
    Vitenskapelig artikkel
  • Souza Lima, Patrick; Almeida Costa, Erbet; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2024) Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Computers and Chemical Engineering
    Vitenskapelig artikkel
  • Prudente, Anderson N.; Santos, Rodrigo V.A.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (2024) An integrated approach for parameter estimation of a propyl propionate synthesis model. Chemical engineering research & design
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Rebello, Carine Menezes; Viena Santana, Vinicius; Reges, Galdir; Silva, Tiago de Oliveira; Abreu, Odilon Santana Luiz de; Ribeiro, Marcos Pellegrini; Foresti, Bernardo Pereira; Fontana, Marcio; Nogueira, Idelfonso B. R.. (2024) An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon
    Vitenskapelig artikkel
  • Rodrigues, Bruno; Viena Santana, Vinicius; Queiroz, Luana P.; de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.. (2024) Harnessing graph neural networks to craft fragrances based on consumer feedback. Computers and Chemical Engineering
    Vitenskapelig artikkel
  • Lim, Myung Kyun; Yun, Ji Sub; Cho, Kyung Ho; Yoon, Ji Woong; Lee, U-Hwang; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Park, Jaedeuk; Kim, Jin-Kuk. (2024) Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation. Journal of Industrial and Engineering Chemistry
    Vitenskapelig artikkel

2023

  • Silva, Beatriz C.; Rebello, Carine Menezes; Rodrigues, Alírio E.; Ribeiro, Ana M.; Ferreira, Alexandre F. P.; Nogueira, Idelfonso B. R.. (2023) Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps. ACS Omega
    Vitenskapelig artikkel
  • Yun, Ji Sub; Cho, Kyung Ho; Lim, Myung Kyun; Yoon, Ji Woong; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Carmo, Paulo; Nogueira, Idelfonso B. R.; Park, Yong-Ki; Park, Jaedeuk. (2023) Process modeling and optimization of vacuum pressure swing adsorption for ethane and ethylene separation using Cu(Qc)<inf>2</inf> MOF. Separation and Purification Technology
    Vitenskapelig artikkel
  • Martins, Márcio A.F.; Rodrigues, Alírio E.; Loureiro, José M.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Handling model uncertainty in control of a pressure swing adsorption unit for syngas purification: A multi-model zone control scheme-based robust model predictive control strategy. Separation and Purification Technology
    Vitenskapelig artikkel
  • Oliveira, Luis M.C.; Santana, Vinícius V.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning. Heliyon
    Vitenskapelig artikkel
  • Queiroz, Luana P.; Rebello, Carine Menezes; Almeida Costa, Erbet; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Santos, Rodrigo V. A.; Rebello, Carine; Prudente, Anderson; Santana, Vinicius V.; Ferreira, Alexandre F. P.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (2023) Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Lima, Fernando; Rebello, Carine Menezes; Almeida Costa, Erbet; Santana, Vinicius; Moares, Marcellus; Barreto, Amaro; Secchi, Argimiro R.; Souza, Mauricio; Nogueira, Idelfonso B. R.. (2023) Improved modeling of crystallization processes by Universal Differential Equations. Chemical engineering research & design
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Viena Santana, Vinicius; Nogueira, Idelfonso B. R.. (2023) Physics-informed neural network uncertainty assessment through Bayesian inference. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Sánchez, Antonio Santos; Junior, Euripedes Pontes; Gontijo, Bernardo Machado; Jong, Pieter de; Nogueira, Idelfonso B. R.. (2023) Replacing fossil fuels with renewable energy in islands of high ecological value: The cases of Galápagos, Fernando de Noronha, and Príncipe. Renewable and Sustainable Energy Reviews
    Vitenskapelig oversiktsartikkel
  • Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Generating Flavor Molecules Using Scientific Machine Learning. ACS Omega
    Vitenskapelig artikkel
  • Gama, Marlon de Souza; Lima, Fernando Arrais Romero Dias; Santana, Vinícius Viena; Nogueira, Idelfonso B. R.; Tavares, Frederico Wanderley; Júnior, Amaro Gomes Barreto. (2023) A parallel hybrid model for integrating protein adsorption models with deep neural networks. Adsorption
    Vitenskapelig artikkel
  • Santana, Vinicius V.; Almeida Costa, Erbet; Rebello, Carine Menezes; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.. (2023) Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. Chemical Engineering Science (CES)
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine de Menezes; Fontana, Márcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2023) A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models. Mathematics
    Vitenskapelig artikkel
  • Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A Reinforcement Learning Framework to Discover Natural Flavor Molecules. Foods
    Vitenskapelig artikkel

2022

  • Santana, Vinícius V.; Martins, Márcio A. F.; Loureiro, José M.; Ribeiro, Ana M.; Queiroz, Luana P.; Rebello, Carine M.; Rodrigues, Alírio E.; Nogueira, Idelfonso B. R.. (2022) Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee. ACS Omega
    Vitenskapelig artikkel

Tidsskriftspublikasjoner

  • de Pinho Queiroz, Luana; Souza Lima, Patrick; Pessoa, Robson Wilson Silva; Martens, Harald; Nogueira, Idelfonso B. R.; Ribeiro, A. M.. (2026) Chemometrics for flavor science: Mapping structure–perception relationships using PCA and Fuzzy C-Means. Digital Chemical Engineering
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Almeida Costa, Erbet; Leblebici, Mumin Enis; Secchi, Argimiro Resende; Souza, Maurício B. de; Bessa Dos Reis Nogueira, Idelfonso. (2026) Symbolic Regression-Based Robust Control of Batch Crystallization: Design and PLC Implementation. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Bessa Dos Reis Nogueira, Idelfonso. (2026) Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach. Control Engineering Practice
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Bessa Dos Reis Nogueira, Idelfonso. (2026) Augmented reality in architectural heritage preservation: a comprehensive digitization approach validated in Salvador’s Pelourinho district–Brazil. Cogent Arts & Humanities
    Vitenskapelig artikkel
  • Amaral, Guilherme C.; Rios, Albertina G.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Rodrigues, Diogo; Bessa Dos Reis Nogueira, Idelfonso; Ferreira, Alexandre F.P.. (2026) Parameter estimation of a size-exclusion simulated moving bed for protein purification via meta-heuristic methods with estimability analysis and uncertainty evaluation. Chemical Engineering Science (CES)
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Bessa Dos Reis Nogueira, Idelfonso. (2026) RTO and advanced process control for electric submersible pumps using surrogate models. Journal of Process Control
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2026) MAASC — Multi-Agentic Architecture Specialised for Control. Journal of Process Control
    Vitenskapelig artikkel
  • de Pinho Queiroz, Luana; Pessoa, Robson Wilson Silva; Caldas, Alcides S.; Ribeiro, Ronilda Iyakemi; Ribeiro, Ana Mafalda; Strlic, Matija; Bembibre, Cecilia; Bessa Dos Reis Nogueira, Idelfonso. (2026) Bahia’s Dendê and the Forgotten Knowledge: Cultural Heritage, Sustainability, and the Marginalization of Afro-Brazilian Traditions. Heritage
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Caprio, Ulderico Di; Steen-Hansen, Jenny; Rodrigues, Bruno; Almeida Costa, Erbet; Santos, Anderson Rapello dos; Esposito, Flora; Leblebici, Mumin Enis; Bessa Dos Reis Nogueira, Idelfonso. (2026) ExPUFFIN: Thermodynamic consistent viscosity prediction in an Extended Path-Unifying Feed-Forward Interfaced Network. Chemical Engineering Journal Advances
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Abdelrehim, Anas; Bharambe, Ashutosh; Micluţa-Câmpeanu, Marius; Gandhi, Dhairya; Singhvi, Anshul; Bhat, Venkateshprasad; Piibeleht, Morten; Secchi, Argimiro R.; Souza, Maurício B.de. (2026) Improving process systems engineering with specialized multi-agent large language models. Chemical Engineering Journal Advances
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Moraes, Marcellus G.F. de; Leblebici, M. Enis; Secchi, Argimiro R.; Souza, Maurício B. de; Nogueira, Idelfonso B. R.. (2026) A robust framework based on symbolic regression to develop controllers for crystallization processes. Journal of Process Control
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Abreu, Odilon Santana Luiz de; Reges, Galdir; de Menezes Rebello, Carine; Fontana, Marcio; Ribeiro, Marcos Pellegrini; Nogueira, Idelfonso B. R.; Schnitman, Leizer. (2025) Standard MPC and Inputs-Target MPC implementation comparison in ESP systems. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Lima, Fernando Arrais R.D.; Faria, Ruan R.; Moraes, Marcellus G.F. de; Secchi, Argimiro R.; Nogueira, Idelfonso B. R.; Souza, Maurício B. de. (2025) Controlling Paracetamol Batch Crystallization in Ethanol by Reinforcement Learning. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Abreu, Odilon Santana Luiz De; Reges, Galdir; Viena Santana, Vinicius; Mendes, Tefilo Paiva Guimares; Fontana, Marcio; Bacellar, Francisco Raphael Ribeiro; Ribeiro, Marcos Pellegrini; Foresti, Bernardo Pereira. (2025) Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Rodrigues, Bruno; de Pinho Queiroz, Luana; Fleming, Bernardo; Vieira, Noemi J.; Ribeiro, Ronilda Iyakemi; Caldas, Alcides S.; Leblebici, Mumin Enis; Strlic, Matija; Bessa Dos Reis Nogueira, Idelfonso. (2025) Tracing Yoruba Heritage in Brazil Through Olfactory Landscapes: A Sensory Approach to Cultural Heritage. Heritage
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Jäschke, Johannes Ernst Peter; Nogueira, Idelfonso B. R.. (2025) Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Boy, Onur Can; Nogueira, Idelfonso B. R.; Caprio, Ulderico Di; Leblebici, Mumin Enis. (2025) AI-aided process intensification of structures. Chemical Engineering and Processing
    Vitenskapelig oversiktsartikkel
  • Souza Lima, Patrick; Ferreira Bernardino, Lucas; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2025) Comparative Analysis of Control Structures in Core Annular Flow Systems: A CFD Simulation Study. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Silva, Beatriz C.; Rebello, Carine Menezes; Rodrigues, Alírio E.; Ribeiro, Ana M.; Ferreira, Alexandre F. P.; Nogueira, Idelfonso B. R.. (2023) Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps. ACS Omega
    Vitenskapelig artikkel
  • Santana, Vinicius; Rebello, Carine Menezes; Queiroz, Luana P.; Ribeiro, Ana Mafalda; Shardt, Nadia; Nogueira, Idelfonso B. R.. (2024) PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction. Chemical Engineering Science (CES)
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Rebello, Carine Menezes; Schnitman, Leizer; Loureiro, José Miguel; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.. (2024) Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. Engineering Applications of Artificial Intelligence
    Vitenskapelig artikkel
  • Yun, Ji Sub; Cho, Kyung Ho; Lim, Myung Kyun; Yoon, Ji Woong; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Carmo, Paulo; Nogueira, Idelfonso B. R.; Park, Yong-Ki; Park, Jaedeuk. (2023) Process modeling and optimization of vacuum pressure swing adsorption for ethane and ethylene separation using Cu(Qc)<inf>2</inf> MOF. Separation and Purification Technology
    Vitenskapelig artikkel
  • Martins, Márcio A.F.; Rodrigues, Alírio E.; Loureiro, José M.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Handling model uncertainty in control of a pressure swing adsorption unit for syngas purification: A multi-model zone control scheme-based robust model predictive control strategy. Separation and Purification Technology
    Vitenskapelig artikkel
  • Mendes, Teófilo Paiva Guimarães; Ribeiro, Ana Mafalda; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process. Processes
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Deiró, Gabriela Fontes; Knuutila, Hanna Katariina; Moreira, Lorena Claudia de Souza; Nogueira, Idelfonso B. R.. (2024) Augmented reality for chemical engineering education. Education for Chemical Engineers
    Vitenskapelig artikkel
  • Moreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Ribeiro, Lucília S.; Nogueira, Idelfonso B. R.. (2024) Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin. Applied Sciences
    Vitenskapelig oversiktsartikkel
  • Oliveira, Luis M.C.; Santana, Vinícius V.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning. Heliyon
    Vitenskapelig artikkel
  • Arrais Romero Dias Lima, Fernando; Moraes, Marcellus G.F. de; de Menezes Rebello, Carine; Barreto, Amaro G.; Secchi, Argimiro R.; Souza, Maurício B. de; Nogueira, Idelfonso B. R.. (2025) Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization. Chemical Engineering and Processing
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Sánchez, Antonio Santos; Vides, Fredy; Nogueira, Idelfonso B. R.. (2024) Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization. Canadian Journal of Chemical Engineering
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.. (2024) Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making. Separation and Purification Technology
    Vitenskapelig artikkel
  • Queiroz, Luana P.; Rebello, Carine Menezes; Almeida Costa, Erbet; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Rodrigues, Bruno; Viena Santana, Vinicius; Murins, Sandris; Nogueira, Idelfonso B. R.. (2024) Molecule Generation and Optimization for Efficient Fragrance Creation. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Almeida Costa, Erbet; Fontana, Marcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2024) Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Ito Iwakiri, Igor Gabriel; Delgado, Nuno M.; Nogueira, Idelfonso B. R.. (2024) Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics. Electrochimica Acta
    Vitenskapelig artikkel
  • Queiroz, L.P.; Nogueira, Idelfonso B. R.; Ribeiro, A.M.. (2024) Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics. Food Research International
    Vitenskapelig oversiktsartikkel
  • Santana, Vinícius V.; Carmo, Paulo; Seabra, Rute; Rodrigues, Alírio E.; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Yoon, Ji Woong; Cho, Kyung Ho; Yun, Ji Sub; Lee, U-Hwang. (2024) Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Santos, Rodrigo V. A.; Rebello, Carine; Prudente, Anderson; Santana, Vinicius V.; Ferreira, Alexandre F. P.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (2023) Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis. Industrial & Engineering Chemistry Research
    Vitenskapelig artikkel
  • Lima, Fernando; Rebello, Carine Menezes; Almeida Costa, Erbet; Santana, Vinicius; Moares, Marcellus; Barreto, Amaro; Secchi, Argimiro R.; Souza, Mauricio; Nogueira, Idelfonso B. R.. (2023) Improved modeling of crystallization processes by Universal Differential Equations. Chemical engineering research & design
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Viena Santana, Vinicius; Nogueira, Idelfonso B. R.. (2023) Physics-informed neural network uncertainty assessment through Bayesian inference. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Skogestad, Sigurd; Nogueira, Idelfonso B. R.. (2024) NC-SIMC: Neuro-Controller Simple Internal Model Control. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Sánchez, Antonio Santos; Junior, Euripedes Pontes; Gontijo, Bernardo Machado; Jong, Pieter de; Nogueira, Idelfonso B. R.. (2023) Replacing fossil fuels with renewable energy in islands of high ecological value: The cases of Galápagos, Fernando de Noronha, and Príncipe. Renewable and Sustainable Energy Reviews
    Vitenskapelig oversiktsartikkel
  • Almeida Costa, Erbet; de Menezes Rebello, Carine; Viena Santana, Vinicius; Nogueira, Idelfonso B. R.. (2024) Machine learning multi-step-ahead modelling with uncertainty assessment. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Sanchez, Antonio; Bessa Dos Reis Nogueira, Idelfonso. (2024) Nutrient recovery in wastewater treatment plants through biosolids and struvite precipitation: Case study in Panama City. Cleaner Water
    Vitenskapelig artikkel
  • Voltolini, Leonardo; Arrais Romero Dias Lima, Fernando; de Menezes Rebello, Carine; Itabaiana, Ivaldo; Nogueira, Idelfonso B. R.; Secchi, Argimiro Resende; Souza, Maurício B. de. (2025) Machine learning framework to predict product distribution of lignocellulosic biomass pyrolysis. Bioresource Technology
    Vitenskapelig artikkel
  • Santana, Vinícius V.; Martins, Márcio A. F.; Loureiro, José M.; Ribeiro, Ana M.; Queiroz, Luana P.; Rebello, Carine M.; Rodrigues, Alírio E.; Nogueira, Idelfonso B. R.. (2022) Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee. ACS Omega
    Vitenskapelig artikkel
  • Souza Lima, Patrick; Almeida Costa, Erbet; Mendes, Teófilo Paiva Guimarães; Schnitman, Leizer; Skogestad, Sigurd; Bessa Dos Reis Nogueira, Idelfonso. (2024) Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Computers and Chemical Engineering
    Vitenskapelig artikkel
  • Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) Generating Flavor Molecules Using Scientific Machine Learning. ACS Omega
    Vitenskapelig artikkel
  • Gama, Marlon de Souza; Lima, Fernando Arrais Romero Dias; Santana, Vinícius Viena; Nogueira, Idelfonso B. R.; Tavares, Frederico Wanderley; Júnior, Amaro Gomes Barreto. (2023) A parallel hybrid model for integrating protein adsorption models with deep neural networks. Adsorption
    Vitenskapelig artikkel
  • Prudente, Anderson N.; Santos, Rodrigo V.A.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.. (2024) An integrated approach for parameter estimation of a propyl propionate synthesis model. Chemical engineering research & design
    Vitenskapelig artikkel
  • Santana, Vinicius V.; Almeida Costa, Erbet; Rebello, Carine Menezes; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.. (2023) Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. Chemical Engineering Science (CES)
    Vitenskapelig artikkel
  • Almeida Costa, Erbet; Rebello, Carine Menezes; Viena Santana, Vinicius; Reges, Galdir; Silva, Tiago de Oliveira; Abreu, Odilon Santana Luiz de; Ribeiro, Marcos Pellegrini; Foresti, Bernardo Pereira; Fontana, Marcio; Nogueira, Idelfonso B. R.. (2024) An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon
    Vitenskapelig artikkel
  • Rodrigues, Bruno; Viena Santana, Vinicius; Queiroz, Luana P.; de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.. (2024) Harnessing graph neural networks to craft fragrances based on consumer feedback. Computers and Chemical Engineering
    Vitenskapelig artikkel
  • de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.. (2025) Digital twins in chemical engineering: An integrated framework for identification, implementation, online learning, and uncertainty assessment. Computers and Chemical Engineering
    Vitenskapelig artikkel
  • Lim, Myung Kyun; Yun, Ji Sub; Cho, Kyung Ho; Yoon, Ji Woong; Lee, U-Hwang; Ferreira, Alexandre; Ribeiro, Ana Mafalda; Nogueira, Idelfonso B. R.; Park, Jaedeuk; Kim, Jin-Kuk. (2024) Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation. Journal of Industrial and Engineering Chemistry
    Vitenskapelig artikkel
  • Costa, Erbet Almeida; Rebello, Carine de Menezes; Fontana, Márcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (2023) A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models. Mathematics
    Vitenskapelig artikkel
  • Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.. (2023) A Reinforcement Learning Framework to Discover Natural Flavor Molecules. Foods
    Vitenskapelig artikkel

Studentoppgave eller avhandling

  • de Menezes Rebello, Carine; Nogueira, Idelfonso B. R.; Knuutila, Hanna Katariina. (2026) Data-Driven and Hybrid Modelling for Optimisation, Control, and Digital Twins in Chemical Engineering Challenges. Norges teknisk-naturvitenskapelige universitet
    Doktoravhandling
  • Arrais Romero Dias Lima, Fernando; Nogueira, Idelfonso B. R.; Secchi, Argimiro Resende; Jr., Mauricio Bezerra de Souza; Leblebici, Mumin Enis. (2026) Machine Learning-Enhanced Process Systems Engineering for Modeling, Monitoring, and Control with Applications to Crystallization Processes. Norges teknisk-naturvitenskapelige universitet
    Doktoravhandling

Undervisning

Emner

  • TKP4100 - Strømning, varme- og massetransport
  • KP8907 - Datavitenskap og maskinlæring i naturvitenskap
  • TMT4211 - Beregningsmetoder i kjemi og materialvitenskap
  • TKP4198 - Datavitenskap og maskinlæring i naturvitenskap
  • TKP4580 - Kjemisk prosessteknologi, fordypningsprosjekt
  • TKP4581 - Kjemisk prosessteknologi, fordypningsprosjekt

Formidling

2025

  • Konferanseforedrag
    Moreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Knuutila, Hanna Katariina; Bessa Dos Reis Nogueira, Idelfonso. (2025) Enhancing Chemical Engineering Education through Augmented Reality Applications. Læringsfestivalen

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